Please use this identifier to cite or link to this item:
The effect of cold waves on mortality in urban and rural areas of Madrid
Title: The effect of cold waves on mortality in urban and rural areas of Madrid
Authors: López Bueno, José AntonioNavas-Martín, Miguel ÁngelDíaz Jiménez, JulioMirón Pérez, Isidro JuanLuna Rico, Yolanda ORCID RESEARCHERID SCOPUSID Autor AEMETSánchez Martínez, GerardoCulqui Lévano, Dante R.Linares Gil, Cristina
Keywords: Cold waves; Mortality; Urban–rural; Deprivation; Building quality; Aging
Issue Date: 2021
Publisher: SpringerOpen
Citation: Environmental Sciences Europe. 2021, 33(72), p. 1-14
Publisher version:
Abstract: While many studies analyze the effect of extreme thermal events on health, little has been written about the effects of extreme cold on mortality. This scarcity of papers is particularly relevant when we search studies about extreme cold on the health of rural population. Therefore, we tried to analyze the effect of cold waves on urban areas and rural areas from Madrid and to test whether differentiated effects exist between both population classes. For this purpose, we analyzed data from the municipalities with over 10,000 inhabitants for the period from January 1, 2000 through December 31, 2013. Municipalities were classified as urban or rural (Eurostat), and they were grouped into similar climatological zones: Urban Metropolitan Centre (UMC), Rural Northern Mountains (RNM), Rural Centre (RC) and Southern Rural (SR). The dependent variable was the daily mortality rate due to natural causes per million inhabitants (CIE-X: A00-R99) that occurred between the months of November and March for the period. The independent variable was minimum daily temperature (ºC) (Tmin). Social and demographic contextual variables were used, including: population > age 64 (%), deprivation index and housing indicators. The analysis was carried out in three phases: (1) determination of the threshold temperature (Tthreshold) which defines the cold waves; (2) determination of the relative risk (RR) for cold waves using Poisson linear regression (GLM); and (3) using GLM of the binomial family, Odds Ratios (OR) were calculated to analyze the relationship between the frequency of the appearance of cold waves and the socioeconomic variables.
Sponsorship : The authors gratefully acknowledge the grants for projects ENPY376/18; ENPY470/19 and ENPY 107/18 from the Carlos III Institute of Health.
ISSN: 2190-4707
Appears in Collections:Artículos científicos 2019-2022

Files in This Item:
  File Description SizeFormat 
1,58 MBAdobe PDFThumbnail
Show full item record

Items in Arcimis are protected by Creative Commons License, unless otherwise indicated.

Arcimis Repository
Nota Legal Contacto y sugerencias